Evaluation of an item-specific physical activity scale for Chinese children and adolescents(I-PASCA) / 中华疾病控制杂志

Objective To evaluate the validity and reliability of an item-specific physical activity scale for Chinese children and adolescents(I-PASCA). Methods Students from Grade 4-12 in Nanjing were randomly selected using a multi-stage sampling approach, 7-days physical activity (PA) level was recorded by self-reported I-PASCA and PA log and were objectively measured with accelerometers. The total moderate and vigorous PA (MVPA) time was calculated. Cronbach α was calculated to estimate the reliability of I-PASCA. Pearson correlation coefficient and Bland-Altman were used to examine I-PASCA's validity. Results There were 815 students recruited in 2013 to evaluate the reliability and validity of I-PASCA using PA log. Cronbach α for I-PASCA was 0.73 regarding moderate and vigorous PA (MVPA). The Spearman correlation coefficients of the values of PA recorded by I-PASCA and PA log were 0.59 for MVPA, and the Bland-Altman coefficient was 95.8% for MVPA. 624 students were involved to examine the reliability and validity of I-PASCA using accelerometers. Cronbach α for I-PASCA was 0.72 regarding MVPA. The Spearman correlation coefficient was 0.36 for MVPA, while the Bland-Altman coefficient was 95.5% for MVPA. Conclusions The I-PASCA, the first physical activity questionnaire specific to Chinese children and adolescents, shows acceptable reliability and validity and can be used to evaluate Chinese students' physical activity level in population-based studies.

Forecasting incidence of extended spectrum β-lactamases-producing Escherichia coli by multiple seasonal ARIMA model / 预防医学

Objective To predict monthly incidents of extended spectrum β-Lactamases (ESBLs)-producing Escherichia coli in Zhejiang Hospital by establishing multiple seasonal autoregressive integrated moving average (ARIMA) model, so as to provide scientific evidence for reducing the incidents of nosocomial infection of ESBLs producing Escherichia coli. Methods Multiple seasonal ARIMA model was established by monthly records of ESBLs producing Escherichia coli from 2010 to 2016 in Zhejiang hospital. Monthly incidents of ESBLs producing Escherichia coli from 2017 to February 2018 were used to verify the predicted result. The predictions were evaluated by models of mean absolute percent error (MAPE) and bayesian information criterion (BIC) . Results The optional model for the monthly incidence from 2010 to 2016 was ARIMA (0, 1, 1) (0, 1, 1)12. The MAPE was 14.76, BIC was 2.01, and the Ljung-Box statistics value Q was 16.79 (P=0.40) . These parameters suggested a good model fitting. The average relative error between the predictive value and the actual value of the monthly incidents ESBLs producing Escherichia coli from 2017 to February 2018 was 14.08%.The actual values were within the 95% confidence interval. Conclusion The multiple seasonal ARIMA model of ARIMA (0, 1, 1) (0, 1, 1 )12 fits and can be used for short-term prediction and dynamic analysis of the incidents of ESBLs producing Escherichia coli in Zhejiang Hospital.

A survey on the agricultural profession-related injuries among 11 902 rural residents in Shandong province / 中华流行病学杂志

Objective To understand the prevalence and risk factors of agricultural activities related injuries among rural residents in Shandong province. Methods A retrospective investigation was conducted among agricultural profession-related workers in 20 villages with multistage cluster sampling method in Shandong province. Four times face-to-face interview were conducted by trained interviewers, including 32 students and local medical personnel under constructed questionnaires.Accidental injuries occurred in the activities or in the agricultural profession-related jobs were recorded, from May 1st 2009 to April 30st 2010. Data was input and analyzed by SPSS 13.0 statistical software. Results A total of 837 cases reported at least 1 job-related injury out of the 11 902 people who had been surveyed in one year. The crude incidence rate was 7.03% and the standardized incidence rate was 7.36%, higher in males (9.01%) than in females (4.10%), X2= 105.53, P=0.000.Children and adolescents (≤ 14 aged) had the higher incidence rate (9.50%), X2=9.70, P=0.008.People working in the area of commercial service related to agricultural products had the highest incidence rate (12.94%). In particular, those occupations that related to agricultural construction or materials appeared to have had higher incidence rates as 16.80% and 15.59% respectively, than other kinds of jobs (X2= 167.30, P=0.000). There were higher proportion of injuries occurred in the roads (28.79%), in the fields(28.08%) during labor work(38.00%) transportation(27.97%), respectively.The seasonality of agricultural injures mostly occurred between June and August, accounted for 47.43%. Major external causes related to injuries were instruments or tools (31.42%) being used,transportation (24.13%) and falls (20.19%). Wounds on limbs took the majority (56.39%). The accidental self-inflicted injury occupied 76.82%, while accidents to passive injuries occupied 11.47%,other kinds accounted for 11.71%. Most of the accidents caused mild or moderate damage, accounted for 60.22% and 30.34% respectively. 7 cases died of injuries, with the fatality rate as 0.84% and the mortality rate was 58.81 per one hundred thousand. 72 cases ended up in disability caused by injuries,with the morbidity rate as 6.05 per thousand. Answers to the major internal causes of injuries appeared to be: "did not know how to protect oneself" (29.87%) with females (45.41%) in particular,followed by "over fatigue" and "inappropriate treatment" which took the 2nd place in males. Major natural environmental factors of injuries would relate to "high air temperature and humidity but lower wind velocity"(14.93%), "unclear signs on the country road"(12.19%), "the sky was cloudy or dark"(10.87%), "slippery road caused by rain or snow" (10.51%), "kids were unintended" (10.27%) etc.Most of the wounded received treatment clinically (50.18%), with the percentile (P50) of medical cost as 182.76 RMB (Yuan). The proportion of inpatient was 27.72% and with percentile of time as P50=7.57 day and cost as P50=2840.00 RMB Yuan. The wounded had a rest of P50=5.9 days, with an indirect cost as P50=233.16 RMB Yuan. Conclusion The results of this study indicated that the incidence of agricultural profession-related injuries was high, with serious harm. Behavioral intervention and awareness of injuries should be enhanced, together with the improvement of environmental condition.